class_docstr: Binomial variance function
  
  p = mu / n; V(mu) = p * (1 - p) * n
  
  INPUTS:
     n -- number of trials in Binomial
code: def clean(self, p):
      return np.clip(p, Binomial.tol, 1 - Binomial.tol)
  
file_path: nipy/nipy/algorithms/statistics/models/family/varfuncs.py
imports: import numpy
label_desc: Use image node_id 2 for calling the Binomial obj's underlying member method code with example usage: obj.clean(p) and returns: np